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GIS In Telecom Sector Market Size 2024-2028

The GIS in telecom sector market size is forecast to increase by USD 1.91 billion at a CAGR of 14.68% between 2023 and 2028.

Geographic Information Systems (GIS) have gained significant traction In the telecom sector due to the increasing adoption of advanced technologies such as big data, sensors, drones, and LiDAR. The use of GIS enables telecom companies to effectively manage and analyze large volumes of digital data, including satellite and GPS information, to optimize infrastructure monitoring and antenna placement. In the context of smart cities, GIS plays a crucial role in enabling efficient communication between developers and end-users by providing real-time data on construction progress and infrastructure status. Moreover, the integration of LiDAR technology with drones offers enhanced capabilities for surveying and mapping telecom infrastructure, leading to improved accuracy and efficiency.
However, the implementation of GIS In the telecom sector also presents challenges, including data security concerns and the need for servers and computers to handle the large volumes of data generated by these technologies. In summary, the telecom sector's growing reliance on digital technologies such as GIS, big data, sensors, drones, and LiDAR is driving market growth, while the need for effective data management and security solutions presents challenges that must be addressed.

What will be the Size of the GIS In Telecom Sector Market During the Forecast Period?

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The Geographic Information System (GIS) market In the telecom sector is experiencing significant growth due to the increasing demand for electronic information and visual representation of data in various industries. This market encompasses a range of hardware and software solutions, including GNSS/GPS antennas, Lidar, GIS collectors, total stations, imaging sensors, and more. Major industries such as agriculture, oil & gas, architecture, and infrastructure monitoring are leveraging GIS technology for data analysis and decision-making. The adoption rate of GIS In the telecom sector is driven by the need for efficient data management and analysis, as well as the integration of real-time data from various sources.
Data formats and sources vary widely, from satellite and aerial imagery to ground-based sensors and IoT devices. The market is also witnessing innovation from startups and established players, leading to advancements in data processing capabilities and integration with other technologies like 5G networks and AI. Applications of GIS In the telecom sector include smart urban planning, smart utilities, and smart public works, among others.

How is this GIS In Telecom Sector Industry segmented and which is the largest segment?

The GIS in telecom sector industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Product

  Software
  Data
  Services


Deployment

  On-premises
  Cloud


Geography

  APAC

    China


  North America

    Canada
    US


  Europe

    UK
    Italy


  South America



  Middle East and Africa

By Product Insights

The software segment is estimated to witness significant growth during the forecast period. The telecom sector's Global GIS market encompasses software solutions for desktops, mobiles, cloud, and servers, along with developers' platforms. companies provide industry-specific GIS software, expanding the growth potential of this segment. Telecom companies heavily utilize intelligent maps generated by GIS for informed decisions on capacity planning and enhancements, such as improved service and next-generation networks. This drives significant growth In the software segment. Commercial entities offer open-source GIS software to counteract the threat of counterfeit products.
GIS technologies are integral to telecom network management, spatial data analysis, infrastructure planning, location-based services, network coverage mapping, data visualization, asset management, real-time network monitoring, design, wireless network mapping, integration, maintenance, optimization, and geospatial intelligence. Key applications include 5G network planning, network visualization, outage management, geolocation, mobile network optimization, and smart infrastructure planning. The GIS industry caters to major industries, including agriculture, oil & gas, architecture, engineering, construction, mining, utilities, retail, healthcare, government, and smart city planning. GIS solutions facilitate real-time data management, spatial information, and non-spatial information, offering enterprise solutions and transportation applications.

Get a glance at the market report of share of variou

In September 2020, the Loudoun County Board of Supervisors directed staff to document telecommunication projects completed, in-progress, and future projects, using the 2014 Wireless GAP Analysis and the Segra Dark Fiber Area Network. Staff mapped the data identified by the Board, as well as other information related to telecommunication projects. This information was then used to identify select unserved or underserved geographic areas of the county.The companion interactive map allows the user to turn on or off all layers used in the project.

Web map features: Exchange Boundaries of Incumbent Local Exchange Carriers (ILEC) Telecommunication Companies regulated by the Washington Utilities and Transportation Commission (WA UTC).

Approximate location of fiber conduit and cables shown in addition to structure features such as pull boxes, manholes, handholes, etc. Locations are for general system reference. No warranties are expressed or implied by infrastructure data and the use of this data does not replace the need for ground survey or 811 locate services. Contact City of Marysville IT Department with questions.

Point geometry with attributes displaying telecommunication facilities in East Baton Rouge Parish, Louisiana.Metadata

Collection of Feature Layers for early Broadband Initiative Work. 9-1-1 systems and telecommunications infrastructure also including mobile broadband deployment by technology type and by carrier.Non-DCRA data - collected by MatSu Borough from other Sources for very early Broadband Initiative research July 2021. Original Source as NotedPublic Safety Answering Points: https://services.arcgis.com/fX5IGselyy1TirdY/ArcGIS/rest/services/Public_Safety_Answering_Points/FeatureServer (Phone and email survey July 2020)Call Routing: https://services.arcgis.com/fX5IGselyy1TirdY/ArcGIS/rest/services/FINAL_Call_Routing/FeatureServer (ATA Call Routing Survey 2020)Telecommunication Towers from FCC: https://services.arcgis.com/fX5IGselyy1TirdY/ArcGIS/rest/services/Cell_Towers_from_FCC/FeatureServer (8/3/2020 FCC Antenna Structure Registration (ASR) download Circa Jan 2024 see https://www.fcc.gov/wireless/systems-utilities/antenna-structure-registration. This may be already distributed in GIS form by the Homeland Infrastructure Foundation-Level Data (HIFLD) Portal (broken into various layers) see https://hifld-geoplatform.opendata.arcgis.com/Wireless Coverage 4G LTE: https://services.arcgis.com/fX5IGselyy1TirdY/ArcGIS/rest/services/Alaska_4GLTE_Wireless_Coverage/FeatureServer (FCC Form 477 data for Alaska using combined carriers delivering technology code 83)Wireless Coverage 3G 4G: https://services.arcgis.com/fX5IGselyy1TirdY/ArcGIS/rest/services/Alaska_3G_4G_Wireless_Coverage/FeatureServer (FCC Form 477 data for Alaska using combined carriers delivering technology code 81, HSPA+)Wireless Coverage 3G: https://services.arcgis.com/fX5IGselyy1TirdY/ArcGIS/rest/services/Alaska_3G_Wireless_Coverage/FeatureServer (Geographic extent of 3G wireless technology in Alaska compiled from all providers. Data from FCC Form 477 current as of June 2019)Wireless Coverage Analog: https://services.arcgis.com/fX5IGselyy1TirdY/ArcGIS/rest/services/Alaska_Analog_Wireless_Coverage/FeatureServer (Geographic extent of analog wireless technology in Alaska compiled from all providers. Data from FCC Form 477 current as of June 2019)Wireless Coverage 2G: https://services.arcgis.com/fX5IGselyy1TirdY/ArcGIS/rest/services/Alaska_2G_Wireless_Coverage/FeatureServer (Geographic extent of 2G wireless technology in Alaska compiled from all providers. Data from FCC Form 477 current as of June 2019)State Trooper Detachments (other than North Slope): https://services3.arcgis.com/3NvWZvRqANiCzqqd/ArcGIS/rest/services/AST_Detachments/FeatureServer (Alaska State Trooper Jurisdictions and Operational Area by Detachment. Revised 9/2020)This data has been visualized in a Geographic Information Systems (GIS) format and is provided as a service in the DCRA Information Portal by the Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs (SOA DCCED DCRA), Research and Analysis section and was last posted on July 1, 2021. SOA DCCED DCRA Research and Analysis is not the authoritative source for this data. For more information and for questions about this data, see: Mat-Su Open Data

More MetadataTelecommunication is used to show the existing telecommunication antenna sites in Loudoun County. The coverage includes antennas mounted on buildings as well as mounted on a tower or monopole. It can also be used to analyze existing signal propagation and plan for new telecommunication antenna sites in Loudoun County.Field List and Explanations:SITE_ID – Application number or unique identification number assigned during telecom inventory efforts. If the Commission Permit Number (CMPT) is known, this is listed hereLocation – Street Address of Telecom FacilityStatus – Construction Status (currently only built towers are mapped)SITE_ID_2 – Additional Application Numbers or unique identifiers that have been assigned to the telecommunication facilityTE_SITE_NAME – General Name of the telecommunication facility. This may be a more common name referring to the use, location or owner of the facilityTE_TYPE – Type of Telecommunication FacilityTE_FCC – Federal Communications Commission (FCC) Antenna Structure Registration (ASR) Number, where availableTE_GE – Ground Elevation as reported on the Commission Permit, if known. Use current elevation dataset for ground elevation if feasible.TE_AGL – Above Ground Level, feet. If this was unknown, an approximate height was captured from available resources/tools. For additional information on manually collected information, please see the TE_NOTES field.TE_NOTES – An applicable notes related to the facility, the data related to the facility or status

Infrastructure Sharing Program - Web Map

Telecommunications_Towers_from_FCC

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What is the GIS In Utility Industry Market Size?

The GIS market in the utility industry size is forecast to increase by USD 3.55 billion at a CAGR of 19.8% between 2023 and 2028. Market expansion hinges on various factors, such as the rising adoption of Geographic Information System (GIS) solutions in the utility sector, the convergence of GIS with Building Information Modeling, and the fusion of Augmented Reality with GIS technology. These elements collectively drive market growth, reflecting advancements in spatial data analytics and technological convergence. The increased adoption of GIS solutions in the utility industry underscores the importance of geospatial data in optimizing infrastructure management. Simultaneously, the integration of GIS with BIM signifies the synergy between spatial and building information for enhanced project planning and management. Additionally, the integration of AR with GIS technology highlights the potential for interactive and interactive visualization experiences in spatial data analysis. Thus, the interplay of these factors delineates the landscape for the anticipated expansion of the market catering to GIS and related technologies.

What will be the size of Market during the forecast period?

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Market Segmentation

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019 - 2023 for the following segments.

Product

  Software
  Data
  Services


Deployment

  On-premises
  Cloud


Geography

  North America

    Canada
    US


  Europe

    Germany
    France


  APAC

    China
    India
    Japan


  Middle East and Africa



  South America

    Brazil

Which is the largest segment driving market growth?

The software segment is estimated to witness significant growth during the forecast period. In the utility industry, the spatial context of geographic information systems (GIS) plays a pivotal role in site selection, land acquisition, planning, designing, visualizing, building, and project management. Utilities, including electricity, gas, water, and telecommunications providers, leverage GIS software to efficiently manage their assets and infrastructure. This technology enables the collection, management, analysis, and visualization of geospatial data, derived from satellite imaging, aerial photography, remote sensors, and artificial intelligence. Geospatial AI, sensor technology, and digital reality solutions are integral components of GIS, enhancing capabilities for smart city planning, urban planning, water management, mapping systems, grid modernization, transportation, and green buildings.

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The software segment was valued at USD 541.50 million in 2018. Moreover, the geospatial industry continues to evolve, with startups and software solutions driving innovation in hardware, smart city planning, land use management, smart infrastructure planning, and smart utilities. GIS solutions facilitate 4D visualization, enabling stakeholders to overcome geospatial data barriers and make informed decisions. The utility industry's reliance on GIS extends to building information modeling, augmented reality, and smart urban planning, ultimately contributing to the growth of the geospatial technology market.

Which region is leading the market?

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North America is estimated to contribute 37% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

How do company ranking index and market positioning come to your aid?

Companies are implementing various strategies, such as strategic alliances, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the market.

AABSyS IT Pvt. Ltd. - The company offers GIS solutions such as remote sensing and computer aided design and drafting solutions for electric and gas utility.

Technavio provides the ranking index for the top 20 companies along with insights on the market positioning of:

AABSyS IT Pvt. Ltd.
Autodesk Inc.
Avineon Inc.
Bentley Systems Inc.
Blue Marble Geographics
Cadcorp Ltd.
Caliper Corp.
Environmental Systems Research Institute Inc.
General Electric Co.
Hexagon AB
Mapbox Inc.
Maxar Technologies Inc.
Mobile GIS Services Ltd.
NV5 Global Inc.
Orbital Insight Inc.
Pitney Bowes Inc.
Schneider Electric SE
SuperMap Software Co. Ltd.
Trimble Inc.
VertiGIS Ltd.

Explore our company rankings and market positioning. Request Free Sample

How can Technavio assist you in ma

This layer represents the OIT Community Anchor Institutions (CAI) data set. ''Community Anchor Institutions'' consist of schools, libraries, medical and healthcare providers, public safety entities, community colleges and other institutions of higher education, and other community support organizations and entities. These locations may not offer broadband availability to the public (although most libraries and many schools, and community centers do) but offer an opportunity for policy makers to understand where community anchor institutions which have broadband access are located; this can help in identifying challenges and opportunities to reaching connectivity goals. Although it is constantly being improved upon, ultimately we aim for this data set to evolve into a reliable resource for emergency response services.

Web Map Services - Please note that the endpoint below also offers links for JSON, SOAP, WMS, and WFS. Additionally, the "Google Earth" link allows the user to download a KMZ file representative of the CAI data set.

ArcGIS Mapping REST: https://gis.co.gov/oitprod10/rest/services/CAIs/CAILocations/MapServer

This dataset can be used to assess the approximate location of "Fiber-To-The-Home" (FTTH) internet service along Vermont roadways.

The data set was built using the VT Data - E911 Road Centerlines and service availability information voluntarily shared by fiber providers in Vermont. Routes represented here are a subset of the total E911 Roadway Centerline line segments. Here is the REST endpoint.

Data is collected and collated from Vermont's fiber providers by PSD-Telecom. Each year, PSD-T requests data from internet service providers regarding the service routes for that organization. The State of Vermont cannot make any claims as to the accuracy or completeness of the data provided to the state by providers. The data is combination of provider-shared route maps and address-level service data. In each case, E911 road centerline data near those lines or points are selected to create this dataset.

Data from these sources was accessed and collected in the summer of 2024. Projects of new construction begun at or around that time may not be available on this map.

Please note, in some cases there may be discontinuous line segments in the dataset. Due to the process by which this dataset is made and the information from providers, there may be some stand-alone roadway sections. This route data does not indicate service availability.

Routes served by fiber to the home (FTTH) broadband service providers as of 2019-6-30. Data submitted by the service providers and aggregated by the PSD (Vermont Public Service Department). Generally the routes are selections of the Vermont E-911 road centerline data.DISCLAIMERVCGI and the State of VT make no representations of any kind, including but not limited to the warranties of merchantability or fitness for a particular use, nor are any such warranties to be implied with respect to the data.

Roads where cable television service is available. Data provided by the cable service operators with their annual reports for the year-ending 2017-12-31 in various formats and with different scales and meanings. The data was processed by the PSD (Vermont Public Service Department) to produce this unified statewide data.

This dataset includes layers for:CityNet FeaturesCityNet FiberCityNet LateralsCityNet ConduitsFiber ConnectionsHubsFacilities

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Geospatial Analytics Market Size 2024-2028

The geospatial analytics market size is forecast to increase by USD 127.2 billion at a CAGR of 18.68% between 2023 and 2028.

The market is experiencing significant growth due to the increasing adoption of geospatial data analytics in sectors such as healthcare and insurance. This trend is driven by the abundance of data being generated through emerging methods like remote sensing, IoT, and drones. However, data privacy and security concerns remain a challenge, as geospatial data can reveal sensitive information.
Organizations must implement robust security measures to protect this valuable information. In the US and North America, the market is expected to grow steadily, driven by the region's advanced technological infrastructure and increasing focus on data-driven decision-making. Companies in this space should stay abreast of emerging trends and address concerns related to data security to remain competitive.

What will be the Size of the Geospatial Analytics Market During the Forecast Period?

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The market is experiencing significant growth due to the increasing demand for location intelligence in various industries, particularly Medium Scale Enterprises (MSEs). This market is driven by the integration of Artificial Intelligence (AI) and machine learning (ML), enabling advanced data analysis and prediction capabilities. The Internet of Things (IoT) is also fueling market growth, as real-time location data is collected and analyzed for various applications, including disaster risk reduction. Hexagon and Luciad are among the key players in this market, offering advanced geospatial analytics solutions. Big data analysis, digital globe imagery, and Pitney Bowes' location intelligence offerings are also contributing to market expansion.
The integration of AI, ML, and 5G technology is expected to further accelerate growth, with applications ranging from supply chain optimization to web-based GIS platforms built using JavaScript and HTML5.

How is this Geospatial Analytics Industry segmented and which is the largest segment?

The geospatial analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2017-2022 for the following segments.

Technology

  GPS
  GIS
  Remote sensing
  Others


End-user

  BFSI
  Government and utilities
  Telecom
  Manufacturing and automotive
  Others


Component

  Software
  Service


Type

  Surface & Field Analytics
  Network & Location Analytics
  Geovisualization
  Others


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK


  APAC

    China


  Middle East and Africa



  South America

By Technology Insights

The GPS segment is estimated to witness significant growth during the forecast period. The market is driven by various sectors including Defense & Internal Security, Retail & Logistics, Energy & Utilities, Agriculture, Healthcare & Life Sciences, Infrastructure, and GIS. Among these, GPS, a satellite-based radio navigation system, was the largest segment in 2023. Operated by the US Space Force, GPS enables geolocation and time information transmission to receivers, facilitating georeferencing, positioning, navigation, and time and frequency control. This technology is widely used in industries such as logistics, transportation, and surveying, making it a significant contributor to the market's growth. The Energy & Utilities sector also leverages geospatial analytics for infrastructure planning, asset management, and maintenance, further fueling market expansion.

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The GPS segment was valued at USD 29.90 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 36% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more insights on the market share of various regions, Request Free Sample

The North American region dominates the market due to the region's early adoption of advanced technologies and the maturity of industries, particularly in healthcare and the industrial sector. The healthcare industry's need for high-level analytics, driven by the COVID-19 pandemic, is a significant factor fueling market growth. In the industrial sector, the abundance of successful technology implementations leads to a faster rate of adoption. Geospatial analytics plays a crucial role in various applications. These applications provide valuable insights for businesses and governments, enabling informed decision-making and improving operational efficien

Polygons delineating the telecom/cable franchise areas in Pierce County. The franchise granted allows the holder of the franchise to operate in County Right-of-Ways, though it is possible that the holder of the franchise does not provide service in all of their franchise area. This data has not been updated since 1999 and should be used with caution.Please read the metadata (https://matterhorn.piercecountywa.gov/GISmetadata/pdbpubw_franchise_telecom.html) for additional information. Any data download constitutes acceptance of the Terms of Use (https://matterhorn.piercecountywa.gov/Disclaimer/PierceCountyGISDataTermsofUse.pdf).

This data set is a harmonized collection of existing data from GBIF, the EU-Forest project and the LUCAS survey. It has about 3 million observations and is supplemented by variables (e.g. location accuracy, land cover type, canopy height, etc.) which enable precise filtering for specific user applications.

The RDS file is created from an sf-object and suitable for fast reading in the R-programming environment. The CSV.GZ file contains records as a table with Easting and Northing in Coordinate Reference System ETRS89 / LAEA Europe (= EPSG code 3035) and can be fed in a GIS after being unzipped.

The code producing this data set is publicly available on GitLab.

Variables:

• id = unique point identifier
• easting = x coordinate
• northing = y coordinate
• country = ISO country code
• species = Latin species name
• genus = genus name
• scientific_name = long species name
• gbif_taxon_key = taxon key from GBIF
• gbif_genus_key = genus key from GBIF
• taxon_rank = species or genus
• year = year of observation
• accessed_through = database through which data was accessed (GBIF, LUCAS, EU-Forest)
• dataset_info = data set name (individual sub-data-set)
• citation = DOI citation of the individual data set
• license = distribution license
• location_accuracy = spatial accuracy of observation (meters)
• flag_location_issue = known location issues present
• flag_date_issue = known date issues present
• eoo = Extent of occurrence (applying the concept of natural geographical range used for the EU-Forest data set (Mauri et al., 2017) to all other data points. 1 = point inside species range; 0 = point outside; NA = EOO polygon not available for this species)
• dbh = Diameter Breast Height (only recorded for observations from the EU-Forest data set (Mauri et al., 2017))
• lc1 = LUCAS land cover type 1 (only recorded for observations from LUCAS data)
• lc2 = LUCAS land cover type 2 (only recorded for observations from LUCAS data)
• landmask_country = land mask overlay 30 meters (NA = not on land)
• corine = CORINE 2018 land cover type (extracted from the 100 meter raster data set)
• nightlights = light pollution observed by VIIRS (proxy for remoteness / distance to human structures)
• canopy_height = canopy height derived from GEDI waveform LiDAR point data
• natura_2000 = Natura 2000 site code (if a point falls inside a protected area (GIS-layer) this variable contains the site identification code; all sites can be explored on an interactive map)
• freq_location = number of points with identical location (in some cases one location has multiple observation, differing in species and/or year. This may lead to difficulties in certain modeling tasks)
• geometry = point geometry in ETRS89 / LAEA Europe

See this detailed documentation for more insights into each variable.

If you would like to know more about the creation of this data set, see

1. the R-Markdown documenting the process (GitLab repository)
2. the talk at OpenGeoHub Summer School 2020 (Youtube)

Some advice: This data set is a puzzle with pieces from many different sources. Take some time to explore before including it in your work. Use summary statistics to see which variables have NAs and how many. Choose your filtering criteria wisely. For example, some points with the highest location accuracy have no record for the year of observations. You would exclude these, if "year > 1990" was your criteria.

This work has received funding from the European Union's the Innovation and Networks Executive Agency (INEA) under Grant Agreement Connecting Europe Facility (CEF) Telecom project 2018-EU-IA-0095 (https://ec.europa.eu/inea/en/connecting-europe-facility/cef-telecom/2018-eu-ia-0095).

These data show the general location of commercial and research submarine cables within U.S. waters. The majority of these cables are for telecommunications, and the remaining are for power transmission. The geographic footprint for each cable may vary and is dependent on the original source data. In the nearshore, cables are routinely buried below the seabed. In the offshore, they are placed d...